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  4. Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI
 
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research article

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Sabaghian, Tahereh
•
Raoufi, Masoomeh
•
Yaghmaei, Shekoofeh
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January 1, 2023
Iranian Journal Of Kidney Diseases

This research aimed to evaluate the clinical features and computed tomography (CT) scans associated with poor outcomes in COVID-19 patients with acute kidney injury (AKI). A total of 351 COVID-19 patients (100 AKI, 251 non-AKI) hospitalized at Imam Hossein Teaching Hospital affiliated to Shahid Beheshti University of Medical Sciences were included. To investigate the factors associated with in-hospital mortality in COVID-19 patients developing AKI, COX univariate and multivariate regression models were applied after controlling other confounding variables. C-reactive protein CRP, lactate, and procalcitonin levels were significantly higher in AKI patients than in non-AKI patients (P < .05). In addition, AKI patients had higher frequencies of lymphopenia and leukocytosis (P < .05). The troponin levels and WBC were the most significant factors for predicting mortality in patients with AKI. Our findings showed that AKI per se is much more important than any other prognostic factor affecting non-AKI patients. However, AKI patients with higher CRP, PCT, and lactate levels had a poor prognosis.

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Type
research article
DOI
10.52547/ijkd.7241
Web of Science ID

WOS:000937457600002

Author(s)
Sabaghian, Tahereh
•
Raoufi, Masoomeh
•
Yaghmaei, Shekoofeh
•
Moradi, Omid
•
Alavi, Azamalsadat
•
Balkhkanlou, Hemmat Ebrat
•
Masbough, Farnoosh
•
Falsafi, Ali  
•
Almasi, Minoo Heidari
Date Issued

2023-01-01

Publisher

IRANIAN SOC NEPHROLGY

Published in
Iranian Journal Of Kidney Diseases
Volume

17

Issue

1

Start page

9

End page

13

Subjects

Urology & Nephrology

•

covid-19

•

sars-cov-19

•

acute kidney injury

•

mortality

•

outcome

•

leukocytosis

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LAMMM  
Available on Infoscience
April 10, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/196800
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